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Coalfire

Technology Fellow – AI Systems & Automation (GenAI & Agentic AI)

Posted 2 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
226K-250K Annually
Expert/Leader
Remote
Hiring Remotely in United States
226K-250K Annually
Expert/Leader
The Technology Fellow will lead AI system design and implementation for automation, mentor teams, and drive innovation in AI strategies.
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About Coalfire

Coalfire is on a mission to make the world a safer place by solving our clients’ hardest cybersecurity challenges. We work at the cutting edge of technology to advise, assess, automate, and ultimately help companies navigate the ever-changing cybersecurity landscape. We are headquartered in Chicago, Illinois with offices across the U.S. and U.K., and we support clients around the world.

But that’s not who we are – that’s just what we do.
 
We are thought leaders, consultants, and cybersecurity experts, but above all else, we are a team of passionate problem-solvers who are hungry to learn, grow, and make a difference.

Position Summary

The Technology Fellow – AI Systems & Automation is a senior-level technical leader responsible for advancing the organization’s capabilities in Generative AI (GenAI) and Agentic AI systems. This role will drive innovation, research, and architecture for large-scale AI automation, ensuring that emerging AI technologies are successfully adapted to solve complex business challenges. The Fellow will serve as both a thought leader and hands-on architect, collaborating with executives, engineering teams, and partners to define strategy, guide implementation, and shape the future of AI adoption within the organization.

What You'll Do

  • Lead the design, architecture, and deployment of GenAI and Agentic AI systems to deliver scalable automation solutions.
  • Drive applied research in emerging AI techniques, including multi-agent orchestration, context engineering, and adaptive automation.
  • Collaborate with cross-functional teams (engineering, product, security, compliance) to translate business requirements into technical AI solutions.
  • Establish standards, frameworks, and best practices for AI system design, security, governance, and lifecycle management.
  • Mentor senior engineers and architects to strengthen organizational expertise in advanced AI.
  • Publish thought leadership, represent the organization in industry forums, and engage with external partners/vendors to influence AI strategy.
  • Evaluate and implement tools, frameworks, and platforms that accelerate AI adoption and reduce technical debt.
  • Track industry trends and provide insights on AI risks, ethics, and regulatory implications.

What You'll Bring

  • 10+ years in AI, machine learning, or automation systems, including 5+ years in a technical leadership or distinguished engineer role.
  • Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or equivalent experience).
  • Expertise in Generative AI (LLMs, transformers, diffusion models).
  • Proven experience with agentic AI architectures and orchestration frameworks.
  • Strong background in automation platforms, distributed systems, and cloud-native environments.
  • Proficiency in programming languages such as Python, Go, or Java, and experience with AI/ML frameworks (PyTorch, TensorFlow, LangChain, etc.).
  • Relevant AI/ML or cloud certifications (AWS, GCP, Azure AI/ML, etc.) if applicable.
  • Demonstrated record of leading complex AI projects from research through deployment.
  • Visionary leadership with the ability to set direction and influence organizational AI strategy.
  • Strong communication skills with the ability to translate complex AI concepts for executives, clients, and technical teams.
  • Deep analytical and problem-solving mindset, capable of tackling highly ambiguous technical challenges.
  • Adaptable and resilient in rapidly evolving AI/automation landscapes.
  • Collaborative approach with strong mentorship skills to elevate peers and teams.
  • Ethical awareness and thoughtfulness in balancing innovation with responsible AI practices.

Preferred Qualifications

  • Advanced degree with specialization in AI alignment, agent systems, or reinforcement learning.
  • Previous experience in enterprise-scale AI deployments within regulated industries (e.g., finance, healthcare, cybersecurity).
  • Contributions to open-source AI or multi-agent system frameworks.
  • Experience with security, privacy, and compliance in AI/automation contexts.
  • Track record of published research, patents, or industry-recognized technical contributions.

Why You’ll Want to Join Us

At Coalfire, you’ll find the support you need to thrive personally and professionally. In many cases, we provide a flexible work model that empowers you to choose when and where you’ll work most effectively – whether you’re at home or an office.

Regardless of location, you’ll experience a company that prioritizes connection and wellbeing and be part of a team where people care about each other and our communities. You’ll have opportunities to join employee resource groups, participate in in-person and virtual events, and more. And you’ll enjoy competitive perks and benefits to support you and your family, like paid parental leave, flexible time off, certification and training reimbursement, digital mental health and wellbeing support membership, and comprehensive insurance options.

At Coalfire, equal opportunity and pay equity is integral to the way we do business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Coalfire is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, our Human Resources team at [email protected].

Top Skills

Agentic Ai
AWS
Azure Ai/Ml
GCP
Generative Ai
Go
Java
Langchain
Python
PyTorch
TensorFlow

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